Order Statistic and Algebraic Product CFAR Detector for Weibull Clutter

Abstract

A new radar constant false alarm rate (CFAR) detection algorithm operating in Weibull clutter is developed. In the proposed CFAR detector, that called order statistic and algebraic product (OSAP) CFAR detector, the output of OS processors on the both lagging and leading windows around the test cell are weighted by fuzzy weighting function (membership function) and are combined by algebraic product (AP) rule to get a better detection performance. The weighing function of this detector is obtained and the performance of the OSAP detector is evaluated and compared with the OSGO and OSSO-CFAR detectors. The results represent that the detection performance of OSAP-CFAR detector is superior to than of OSGO and OSSO CFAR detectors in the homogenous background and in multiple interfering targets situations.